Oct 2023 – Oct 2023 · 0 mo · Hamburg, Germany

Mar 2023 – May 2023 · 2 mos · Berlin, Germany

Mar 2022 – May 2022 · 2 mos · Leiden, South Holland, Netherlands

Feb 2021 – Feb 2024 · 3 yrs · European Union · Hybrid

• As a PhD representative at the Marie Curie ITN CAST, I liaised between fellow researchers and the management team, facilitating communication and collaboration within the network. My responsibilities included:
• Advocating for fellow PhD candidates
• Organizing events to promote networking and knowledge exchange
• Providing feedback on program activities
• Collaborating with stakeholders to enhance the ITN experience
• Contributing to the development of inclusive research policies
• Representing the ITN at professional events
• This role has been a rewarding experience, allowing me to contribute to the advancement of research and collaboration. I gained valuable opportunities for personal and professional development, enriching my PhD journey.

Nov 2020 – May 2024 · 3 yrs 6 mos · Göttingen, Lower Saxony, Germany

• I am skilled in leveraging advanced imaging and proteomics to investigate cancer tissues from patients. My toolkit includes a variety of light microscopy techniques, such as Multiphoton, Confocal, and Light-Sheet microscopy, complemented by Histology for detailed tissue analysis. Additionally, I utilize MALDI imaging for precise protein distribution studies and high-resolution X-ray imaging with PETRA III for in-depth 3D examinations.
• My research also involves analyzing real patient samples from a biobank, with a particular focus on human colorectal cancer tissues and patient-derived organoids. To dissect the complex data, I employ both traditional medical image analysis methods, like texture analysis and segmentation, and machine learning and deep learning techniques. I also develop analysis pipelines to merge different kinds of data.
• The core of my work is to identify markers within images and proteins that can be linked to specific patient data. My aim is to uncover patterns or indicators that could enhance our understanding of diseases and potentially inform treatment decisions.

Mar 2019 – Jun 2020 · 1 yr 3 mos · Mumbai, Maharashtra, India

• Master's thesis: 'Point-of-Care detection of bacterial infections':
• PI: Late Prof. Rinti Banerjee
• Nanomedicine Lab, Department of Biosciences & Bioengineering, IIT Bombay
• Developed nanoparticle based biosensor for point-of-care detection of gram-nature of bacteria, and, resistance to fluoroquinolones.
• Optimized the synthesis of nanoparticles (Polydiacetylene liposomes, Gold nanoparticles)
• Designed and validated a novel bioassay for distinction between gram-positive and gram-negative bacterial uropathogens, using antimicrobial peptide as the biorecognition element.
• Limit of detection achieved: 10ˆ5 CFU/mL, response time: 90 minutes.
• Microbial analysis of specific action of Nisin (antimicrobial peptide) on gram-positive bacteria.
• Engineered a POC device (paper-based) employing aforementioned bioassay; Clinical validation on patient samples.
• Designed Bioassay to identify bacteria resistant to fluoroquinolones.
• Characterisation and validation using: DLS-Zeta, SEM, TEM, Confocal Microscopy, UV-Vis spectroscopy, Spectrofluorimetry, RGB analysis.

May 2017 – May 2018 · 1 yr · Jalandhar Area, India

• Thesis: "Media Optimization for the production of Lovastatin, therapeutic drug, by Aspergillus terreus MTCC 18031 using Response Surface Methodology".
• Thawed and revived fungal cell culture by sub-culturing under optimum conditions and analysed cell growth kinetics.
• Observation of fungal colonies, hyphae under light microscopy.
• Applied Full-factorial (method of optimization)- 3 Factor 3 Stage Factorial Design- Response Surface Experimental Design to maximize lovastatin production of submerged aerobic batch fermentation by optimizing carbon source, nitrogen source, and inoculum volume.
• Extracted Lovastatin (extracellular product) using centrifugation, and verified the presence using the spectrophotometer.
• Lovastatin- a fungal secondary metabolite is widely used as an anti-hypercholesteremic drug.
• Used statistical software: Minitab, to develop Contour and Surface Plots to effects of study the interaction between various independent variables on productivity (output).

May 2017 – Jul 2017 · 2 mos · Banglore

• Project: "Designing a drug against Alzheimer’s Disease, using in-silico methods."
• Worked under Dr Debnath Pal (Senior Scientist, Dept. of Computational and Data Science, IISc), under the Summer Research Fellowship granted by JNCASR.
• The project focused on studying the cell signalling pathway of Alzheimer’s disease, analysing the protein target, structure-based ligand designing, flexible and rigid molecular docking, molecular dynamics simulations using DISCOVERY STUDIO.

May 2016 – Jul 2016 · 2 mos · Pune Area, India

• Project: "Mathematical Modelling and Simulations of Autoregulatory Intracellular Pathways"
• Worked under Dr Chetan Gadgil (Senior Scientist, Dept. of Chemical Engineering And Process Development), National Chemical Laboratory, Pune.
• Learned Mathematical Modelling of metabolic pathways under varied constraints- gene regulation (genetic switches) and signal transduction in prokaryotes and eukaryotes, autoregulatory pathways.
• Model Simulations using MATLAB (on Linux).